芮庆, 胡宗武, 宫崎文夫. 用LWR学习进行乒乓球轨道预测的仿真研究[J]. 机器人, 1998, 20(5): 373-377,388.
引用本文: 芮庆, 胡宗武, 宫崎文夫. 用LWR学习进行乒乓球轨道预测的仿真研究[J]. 机器人, 1998, 20(5): 373-377,388.
RUI Qing, HU Zongwu, FUmio Miyazaki. SIMULATION ON PREDICTION TRACE OF PING PANG BALL USING LWR LEARNING[J]. ROBOT, 1998, 20(5): 373-377,388.
Citation: RUI Qing, HU Zongwu, FUmio Miyazaki. SIMULATION ON PREDICTION TRACE OF PING PANG BALL USING LWR LEARNING[J]. ROBOT, 1998, 20(5): 373-377,388.

用LWR学习进行乒乓球轨道预测的仿真研究

SIMULATION ON PREDICTION TRACE OF PING PANG BALL USING LWR LEARNING

  • 摘要: 乒乓机器人的任务是将球击回到对方的场地内.这个任务由两部分组成:知觉和行动.本文研究机器人的知觉问题,也就是利用LWR(Localy Weighted Regression)学习的方法预测接触反弹后的球的轨道.

     

    Abstract: The task of Ping Pong Robot is to hit back the ping pong ball to the opposite court., and it is made up of two steps: sensing and hitting. This paper studies the sensing of the robot. The method uses LWR(Locally Weighted Regression) learning to estimate the trace of the ping pong ball after bounding.

     

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